Programming Constructs to Enable Formation of Efficient Algorithm Mapping for ExaScale Processors

Award Information
Agency:
Department of Defense
Branch
Office of the Secretary of Defense
Amount:
$99,998.00
Award Year:
2012
Program:
STTR
Phase:
Phase I
Contract:
FA8750-12-C-0152
Award Id:
n/a
Agency Tracking Number:
O11B-T02-1011
Solicitation Year:
2011
Solicitation Topic Code:
OSD11-T02
Solicitation Number:
2011.B
Small Business Information
75 Aero Camino, Suite A, Goleta, CA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
153927827
Principal Investigator:
Mark Schmalz
Principal Investigator (Univ of FL)
(352) 505-1561
mssz@cise.ufl.edu
Business Contact:
Rhonda Adawi
Contracts Manager
(805) 685-6672
radawi@fti-net.com
Research Institution:
University of Florida
Cheryl L Coleman
339 Weil Hall
Gainesville, FL, 32611-
(352) 392-9447
Nonprofit college or university
Abstract
Frontier Technology, Inc. (FTI) and its research partner University of Florida (UF) propose to develop new software tools for addressing the requirements of semi-automatically programming emerging classes of computational hardware for Exa-scale computing so as to benefit the DoD through reduced software production and overall life cycle costs with greater portability, fewer defects, and energy reduction. Phase I will: Co-design higher level algorithmic expressions with specific optimizations for parallelism and locality; Perform proof of concept measurements of improvements beyond what is achieved with common high level languages; Develop a mathematical basis of the underlying optimization model to illustrate the exploitation of parallelism and locality across stages of sensor signal processing; Benchmark model kernels relevant to Air Force sensor missions. Phase I will design, analyze, prototype, and demonstrate implementations of the above-listed computational strategies on a multicore CPU, graphics processing unit (GPU), or CPU-GPU cluster, with analysis of cluster size and proof of scalability. Phase II will implement new higher-level algorithm-specific language and optimizations; optimize these on mission relevant sensor data processing kernels; establish porting benefits; demonstrate parallelism, locality across stages of sensor computational chains, and methodology for application to Air Force missions and commercialization.

* information listed above is at the time of submission.

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